Deep learning assisted retinal microvasculature assessment and cerebral small vessel disease in Fabry disease
Fabry disease patients demonstrated increased vascular tortuosity and asymmetry, reduced density and diameter, and a simpler fractal dimension in retinal microvasculature. These microvascular characteristics may serve as preliminary indicators for assessing brain lesions and could represent potential novel biomarkers for CSVD, aiding in the monitoring of FD severity and progression.
Authors
- Junmeng Li (ORCID: https://orcid.org/0000-0001-9438-3791)
- Yujing Yuan
- Qijie Wei
- Yingsi Li (ORCID: https://orcid.org/0000-0002-9926-1803)
- Xiaoming Yan (ORCID: https://orcid.org/0000-0002-5263-9952)
- Yuan Wu (ORCID: https://orcid.org/0000-0003-2080-1414)
- Wei Zhang (ORCID: https://orcid.org/0009-0000-4352-2245)
- Jingjing Xu (ORCID: https://orcid.org/0000-0001-9737-5025)
- Yawen Zhao (ORCID: https://orcid.org/0000-0002-7585-3329)
- Bo Yang (ORCID: https://orcid.org/0000-0002-8067-2215)
- Xuecong Zhou
Institutions
- Peking University (CN)
- Beijing Normal University (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Peking University First Hospital (CN)
Publication Details
- Journal
- Orphanet Journal of Rare Diseases
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1186/s13023-025-03627-1
- Citations
- 1
- Primary Topic
- Retinal Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.71
Funders
- Interdisziplinäres Zentrum für Klinische Forschung, Universitätsklinikum Würzburg